Relevant bibliographies by topics / Lineament extraction

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Lineament extraction'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "Lineament extraction"

1

Enoh, Mfoniso Asuquo, Francis Ifeanyi Okeke, and Uzoma Chinenye Okeke. "AUTOMATIC LINEAMENTS MAPPING AND EXTRACTION IN RELATIONSHIP TO NATURAL HYDROCARBON SEEPAGE IN UGWUEME, SOUTH-EASTERN NIGERIA." Geodesy and cartography 47, no. 1 (April 8, 2021): 34–44. http://dx.doi.org/10.3846/gac.2021.12099.

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The study focus on the integration of Remote Sensing and Geographic Information System for identification and delineation of lineaments in relation to natural hydrocarbon seepage, which occur in Ugwueme, South-Eastern Nigeria. To achieve this objective, remotely sensed data (ASTER Digital Elevation Model and Landsat 8 OLI/TIRS) were used to depict the surface expression of faults, folds and fractures which are expressed in the form of lineaments. The global positioning system (GPS) was also used for ground verification. The geology map of the study area, which is elucidated in the geology of Nigeria was used to show the distribution of rocks and other geologic structures. The delineation of lineament features was done automatically with the PCI Geomatica while the Rock ware was used to generate the Rose diagram for demonstration of the direction of the extracted lineaments. The classification of the lineaments density and the lineaments intersection analysis were categorized as very low, low, moderate, high and very high classes respectively. Areas classified as very high to high lineaments density are potential zone, which act as conduits for hydrocarbon seepage. The result shows that a total lineament frequency of 947 km and a total lineament length of 946 km were delineated from the satellite data. The result further shows that areas with high lineaments density are concentrated in the southwest, south, central and northern part of the study area while areas with low lineament density were found within the eastern part of Ugwueme. The Rose diagram highlight the major trend in the (NE-SW), (N-S) and (NW-SE) directions, and the minor trend in the (W-E) direction. These directional trends depict the directions of lineaments which act as conduits zones for hydrocarbon seepage in the region. The overall findings of the study shows that lineament density, lineament intersection and rose diagrams are concepts applicable in hydrocarbon oil and gas seepages.
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Adhab, Safaa Sabah. "Lineament automatic extraction analysis for Galal Badra river basin using Landsat 8 satellite image." Iraqi Journal of Physics (IJP) 12, no. 25 (February 12, 2019): 44–55. http://dx.doi.org/10.30723/ijp.v12i25.303.

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This research including lineament automated extraction by using PCI Geomatica program, depending on satellite image and lineament analysis by using GIS program. Analysis included density analysis, length density analysis and intersection density analysis. When calculate the slope map for the study area, found the relationship between the slope and lineament density.The lineament density increases in the regions that have high values for the slope, show that lineament play an important role in the classification process as it isolates the class for the other were observed in Iranian territory, clearly, also show that one of the lineament hit shoulders of Galal Badra dam and the surrounding areas dam. So should take into consideration the lineaments because its plays an important role in the study area.
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Javhar, Aminov, Xi Chen, Anming Bao, Aminov Jamshed, Mamadjanov Yunus, Aminov Jovid, and Tuerhanjiang Latipa. "Comparison of Multi-Resolution Optical Landsat-8, Sentinel-2 and Radar Sentinel-1 Data for Automatic Lineament Extraction: A Case Study of Alichur Area, SE Pamir." Remote Sensing 11, no. 7 (April 1, 2019): 778. http://dx.doi.org/10.3390/rs11070778.

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Lineament mapping, which is an important part of any structural geological investigation, is made more efficient and easier by the availability of optical as well as radar remote sensing data, such as Landsat and Sentinel with medium and high spatial resolutions. However, the results from these multi-resolution data vary due to their difference in spatial resolution and sensitivity to soil occupation. The accuracy and quality of extracted lineaments depend strongly on the spatial resolution of the imagery. Therefore, the aim of this study was to compare the optical Landsat-8, Sentinel-2A, and radar Sentinel-1A satellite data for automatic lineament extraction. The framework of automatic approach includes defining the optimal parameters for automatic lineament extraction with a combination of edge detection and line-linking algorithms and determining suitable bands from optical data suited for lineament mapping in the study area. For the result validation, the extracted lineaments are compared against the manually obtained lineaments through the application of directional filtering and edge enhancement as well as to the lineaments digitized from the existing geological maps of the study area. In addition, a digital elevation model (DEM) has been utilized for an accuracy assessment followed by the field verification. The obtained results show that the best correlation between automatically extracted lineaments, manual interpretation, and the preexisting lineament map is achieved from the radar Sentinel-1A images. The tests indicate that the radar data used in this study, with 5872 and 5865 lineaments extracted from VH and VV polarizations respectively, is more efficient for structural lineament mapping than the Landsat-8 and Sentinel-2A optical imagery, from which 2338 and 4745 lineaments were extracted respectively.
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Liu, Chun Xue, Liang Tan, Chun Zhong Ni, and Yong Feng Yan. "Automatically Extraction of Lineaments from DEM." Applied Mechanics and Materials 391 (September 2013): 394–97. http://dx.doi.org/10.4028/www.scientific.net/amm.391.394.

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Faults, which role greatly in the generation and spatial distribution of mineral resources, are always related to the lineament interpreted from remote sensing data. This paper introduces an improved segment tracing algorithm (STA) to interpret lineament from remote sensing data (DEM) in Gejiu tin mine, China. In this analysis, a lineament is treated as a straight line in the horizontal plane and its dip is not considered. A fault is created by connecting several lineaments, which appear to belong to the same system, using the criteria of distance and directional angle. The proposed method was applied to mines in Gejiu tin mine, a area of Triassic limestone with tin mine. A correlation exists between interpreted fault orientations and (1) the predominant azimuth of joints appearing on the tunnel walls of a tin deposit in the limestone area and (2) the orientation of main tin deposits. Furthermore, the proposed method is capable of calculating the intersection pattern of fractures at an arbitrary level below the ground surface.
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Ahmadi, Hemayatullah, and Emrah Pekkan. "Fault-Based Geological Lineaments Extraction Using Remote Sensing and GIS—A Review." Geosciences 11, no. 5 (April 24, 2021): 183. http://dx.doi.org/10.3390/geosciences11050183.

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Geological lineaments are the earth’s linear features indicating significant tectonic units in the crust associated with the formation of minerals, active faults, groundwater controls, earthquakes, and geomorphology. This study aims to provide a systematic review of the state-of-the-art remote sensing techniques and data sets employed for geological lineament analysis. The critical challenges of this approach and the diverse data verification and validation techniques will be presented. Thus, this review spanned academic articles published since 1975, including expert reports and theses. Landsat series, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Sentinel 2 are the prevalent optical remote sensing data widely used for lineament detection. Moreover, Shuttle Radar Topography Mission (SRTM) derived Digital Elevation Model (DEM), Synthetic-aperture radar (SAR), Interferometric synthetic aperture radar (InSAR), and Sentinel 1 are the typical radar remotely sensed data which are widely used for the detection of geological lineaments. The geological lineaments acquired via GIS techniques are not consistent even though a variety of manual, semi-automated, and automated techniques are applied. Therefore, a single method may not provide an accurate lineament distribution and may include artifacts requiring integration of multiple algorithms, e.g., manual and automated algorithms.
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Mallast, U., R. Gloaguen, S. Geyer, T. Rödiger, and C. Siebert. "Derivation of groundwater flow-paths based on semi-automatic extraction of lineaments from remote sensing data." Hydrology and Earth System Sciences 15, no. 8 (August 25, 2011): 2665–78. http://dx.doi.org/10.5194/hess-15-2665-2011.

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Abstract. In this paper we present a semi-automatic method to infer groundwater flow-paths based on the extraction of lineaments from digital elevation models. This method is especially adequate in remote and inaccessible areas where in-situ data are scarce. The combined method of linear filtering and object-based classification provides a lineament map with a high degree of accuracy. Subsequently, lineaments are differentiated into geological and morphological lineaments using auxiliary information and finally evaluated in terms of hydro-geological significance. Using the example of the western catchment of the Dead Sea (Israel/Palestine), the orientation and location of the differentiated lineaments are compared to characteristics of known structural features. We demonstrate that a strong correlation between lineaments and structural features exists. Using Euclidean distances between lineaments and wells provides an assessment criterion to evaluate the hydraulic significance of detected lineaments. Based on this analysis, we suggest that the statistical analysis of lineaments allows a delineation of flow-paths and thus significant information on groundwater movements. To validate the flow-paths we compare them to existing results of groundwater models that are based on well data.
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Mallast, U., R. Gloaguen, S. Geyer, T. Rödiger, and C. Siebert. "Semi-automatic extraction of lineaments from remote sensing data and the derivation of groundwater flow-paths." Hydrology and Earth System Sciences Discussions 8, no. 1 (January 28, 2011): 1399–431. http://dx.doi.org/10.5194/hessd-8-1399-2011.

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Abstract. We describe a semi-automatic method to objectively and reproducibly extract lineaments based on the global one arc-second ASTER GDEM. The combined method of linear filtering and object-based classification ensures a high degree of accuracy resulting in a lineament map. Subsequently lineaments are differentiated into geological and morphological lineaments to assign a probable origin and hence a hydro-geological significance. In the western catchment area of the Dead Sea (Israel) the orientation and location of the differentiated lineaments are compared to characteristics of known structural features. The authors demonstrate that a strong correlation between lineaments and structural features exist, being either influenced by the Syrian Arc paleostress field or the Dead Sea stress field or by both. Subsequently, we analyse the distances between lineaments and wells thereby creating an assessment criterion concerning the hydraulic significance of detected lineaments. Derived from this analysis the authors suggest that the statistic analysis of lineaments allows a delineation of flow-paths and thus significant information for groundwater analysis. We validate the flow-path delineation by comparison with existing groundwater model results based on well data.
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8

Al-Obeidat, Feras, Leonardo Feltrin, and Farhi Marir. "Cloud-based Lineament Extraction of Topographic Lineaments from NASA Shuttle Radar Topography Mission Data." Procedia Computer Science 83 (2016): 1250–55. http://dx.doi.org/10.1016/j.procs.2016.04.260.

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9

Zhang, Lili, Jiansheng Wu, Tianyao Hao, and Jialin Wang. "Automatic lineament extraction from potential-field images using the Radon transform and gradient calculation." GEOPHYSICS 71, no. 3 (May 2006): J31—J40. http://dx.doi.org/10.1190/1.2194521.

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Linear anomalies are critical in the interpretation of gravity and magnetic data. Visual identification of lineaments is usually done by experienced interpreters, and identification results then have to undergo a digitization or import procedure. The traditional identification method has unavoidable subjectivity and inefficiency. To overcome these limitations, we fuse the Radon transform (RT) with gradient calculation to process gravity or magnetic data and to realize automatic detection and extraction of lineaments. As part of the detection procedure, we define the RT-based mean gradient (MG), effective mean gradient (EMG), and residual mean gradient (RMG) in order to highlight long linear segments or to enhance short linear ones in the transform domain. The gradient forms are applied self-adaptively and self-selectively to gravity or magnetic images according to specific conditions. Gradient directions are also taken into account in the transformation procedure to emphasize the characteristics of linear anomalies. To extract the position and length of the detected lineaments from the transform domain, a constraint inverse searching method (CISM) is given and used to locate the starting and end points of the lineaments. The method can deal with the condition that there is at least one linear section in a specific direction or that separate linear sections may belong to one lineament. Through tests with synthetic images and with real data from the Haijiao upheaval area in the East China Sea Basin, the detection and extraction methods are shown to be more effective and robust than the conventional RT applications. The results from the real data roughly coincide with major geologic faults that are visually identified. These results show that the methods constitute a useful tool to aid fault interpretation.
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10

Nugroho, Udhi C., and Arum Tjahjaningsih. "LINEAMENT DENSITY INFORMATION EXTRACTION USING DEM SRTM DATA TO PREDICT THE MINERAL POTENTIAL ZONES." International Journal of Remote Sensing and Earth Sciences (IJReSES) 13, no. 1 (June 21, 2017): 67. http://dx.doi.org/10.30536/j.ijreses.2016.v13.a2704.

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Utilization of remote sensing in geology is based on some identification of main parameters. They were the relief or morphology, flow patterns, and lineament. So it was necessary to study extraction method based on those parameters. This study aimed to obtain lineament density zone in the Geumpang area, Aceh, associated with mineral resource potential. Information of lineament density using remote sensing data was expected to help solve the problems that arised in the activities of early exploration, the difficulty of finding the prospect areas, so that the activities of pre-exploration always required a wide area and required a long time to determine the location of mineral prospect areas, it would have a direct impact on the financial of exploration activities. The used data was Landsat 8 and DEM SRTM of 30 m. The used method was processing of shaded relief on DEM data with the azimuth angle 0o, 45o, 90o, and 135o, then the result of hill shade process was done overlay, so DEM seen from all different azimuth angles. The results of the overlay were processed using the algorithm LINE with parameters such as the radius of the filter in pixels (RADI) 60, the threshold for edge gradient (GTHR) 120, the threshold for the curve length (LTHR) 100, the threshold for line fitting error (FTHR) 3, threshold for angular (ATHR) 30, and the threshold for linking distance (DTHR) 100. Vector lineament data from LINE algorithm process then performed density analysis to obtain lineament density zoning. Results from the study showed that the area has a high density lineament associated with mineral potency, so it was useful for exploration activities to minimize the survey area.
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Dissertations / Theses on the topic "Lineament extraction"

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Sarp, Gulcan. "Lineament Analysis From Satellite Images, North-west Of Turkey." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606520/index.pdf.

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The purposes of this study are to extract lineaments from satellite images in order to contribute to the understanding of the faults. Landsat image is used for the analysis which is processed for both automated and manual extraction. During manual extraction four methods (filtering, PCA, band rationing and color composites) are used. Comparison of the two output maps indicated that manual extraction produced better results. Manually extracted lineament map is tested with the fault map of the area compiled from eight studies. The accuracy of the lineament map for the whole area is 38.69 % which increases to 50.28 % in the vicinity of North Anatolian Fault Zone (NAFZ). Evaluation of the length, density and orientation of the lineaments indicated that: a) there are fault zones in the area other than the NAFZ, b) Several fault segments are identified in the region which are absent in the fault map due the difficulty in mapping during the field studies
c) the dominant lineament trend is NE-SW (parallel to the NAFZ), however, a second trend is obvious in NW-SE direction.
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2

Cambazoglu, Selim. "Preparation Of A Source Model For The Eastern Marmara Region Along The North Anatolian Fault Segments And Probabilistic Seismic Hazard Assessment Of Duzce Province." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614167/index.pdf.

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The North Anatolian Fault System is one of the most important active strike-slip fault systems in the world. The August 17, 1999 and November 12, 1999 earthquakes at Kocaeli and Dü
zce are the most recent devastating earthquakes. The study area lies in the Eastern Marmara Region and is bounded by the 28.55-33.75 E and 40.00-41.20 N, latitude and longitude coordinates, respectively. There are numerous studies conducted in the study area in terms of active tectonics and seismicity, however studies are scale dependent. Therefore, a comprehensive literature survey regarding active tectonics of the region was conducted and these previous studies were combined with the lineaments extracted from 10 ASTER images via principle component analysis manual extraction method. Therefore, a line seismic source model for the Eastern Marmara region was compiled mainly based on major seismic events of instrumental period. The seismicity of these line segments were compared with the instrumental period earthquake catalogue compiled by Kandilli Observatory and Earthquake Research Institute with a homogeneous magnitude scale between 1900 and 2005. Secondary event and completeness of this catalogue was checked. The final catalogue was matched with the compiled seismic source for historical seismicity and source-scenario-segment-weight relationships were developed. This developed seismic source model was tested by a probabilistic seismic hazard assessment for Dü
zce city center by utilizing four different ground motion prediction equations. It was observed that Gutenberg-Richter seismicity parameter &lsquo
b&rsquo
does not have significant effect over the model, however change in the segmentation model have a low but certain influence.
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GUO, RENZHONG. "Du point a la ligne : extraction des lineaments sur une image numerique, applications cartographiques et geographiques." Besançon, 1990. http://www.theses.fr/1990BESA1007.

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Mobasher, Katayoun. "Kinematic and Tectonic Significance of the Fold- and Fault- Related Fracture Systems in the Zagros Mountains, Southern Iran." unrestricted, 2007. http://etd.gsu.edu/theses/available/etd-04232007-151527/.

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Thesis (Ph. D.)--Georgia State University, 2007.
Title from file title page. Hassan Babaie, committee chair; Pamela Burnley, Timothy La Tour, Zhi Young Yin, committee members. Electronic text (143 p. : ill. (some col.), maps (some col.)) : digital, PDF file. Description based on contents viewed Dec. 11, 2007. Includes bibliographical references (p. 138-143).
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Book chapters on the topic "Lineament extraction"

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Alshayef, Mohammed Sultan, and Akram Javed. "Geomatica-Based Approach for Automatic Extraction of Lineaments from ASTER-GDEM Data, in Part of Al-Rawdah, Shabwah, Southeast Yemen." In Hydrologic Modeling, 423–34. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5801-1_29.

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Sedrette, Slimene, and Noamen Rebai. "Assessment Approach for the Automatic Lineaments Extraction Results Using Multisource Data and GIS Environment: Case Study in Nefza Region in North-West of Tunisia." In Mapping and Spatial Analysis of Socio-economic and Environmental Indicators for Sustainable Development, 63–69. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21166-0_6.

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Conference papers on the topic "Lineament extraction"

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Masjukov, V. V., and O. S. Yurchenko. "On Problems of Automatical Extraction and Selection of Various Lineament Systems on Fractured Geological Medium Images." In Geomodel 2021. European Association of Geoscientists & Engineers, 2021. http://dx.doi.org/10.3997/2214-4609.202157021.

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Bancalà, G., O. Cingiloglu, and I. Guerra. "Integrated Multi-physics Approach for Lineament Extraction in Complex Geological Setting - A Case Study from Gediz Graben, Turkey." In 79th EAGE Conference and Exhibition 2017. Netherlands: EAGE Publications BV, 2017. http://dx.doi.org/10.3997/2214-4609.201701289.

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Hung, L. Q., O. Batelaan, and F. De Smedt. "Lineament extraction and analysis, comparison of LANDSAT ETM and ASTER imagery. Case study: Suoimuoi tropical karst catchment, Vietnam." In Remote Sensing, edited by Manfred Ehlers and Ulrich Michel. SPIE, 2005. http://dx.doi.org/10.1117/12.627699.

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Ramdani, Fatwa. "Comparing of lineaments extraction from ALOS and Landsat images for supporting exploration of geothermal field in Indonesia." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6352243.

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